Job opportunity
Senior Generative AI Engineer
UniSysTech Consulting
Lead Generative AI and Machine Learning engineering from a hybrid Downtown Toronto office, building production-ready backend systems and intelligent automation.
This Senior AI Developer position focuses on enterprise-grade Artificial Intelligence and Machine Learning solutions. You will use modern AI frameworks, LLMs, RAG architectures, Python, and backend service design. Deep AI/ML expertise is the primary priority, while AWS experience supports scalable deployment.
Key Responsibilities:
Design and implement production-ready Generative AI and ML capabilities
Build AI-driven backend pipelines and automated operational workflows
Architect secure, performant APIs, microservices, and event-driven systems
Implement CI/CD, monitoring, drift tracking, and model deployment automation
Partner with architects, data engineers, and security teams
Requirements:
Five-plus years building, training, fine-tuning, and deploying models
Proficiency with LLM orchestration, RAG, vector databases, and prompts
Strong Python expertise with FastAPI, Flask, or asynchronous frameworks
Experience automating backend tasks, data pipelines, and workflows
Work two days weekly in Downtown Toronto; remote flexibility available
Apply deep AI/ML expertise, Python, LLMs, and RAG engineering to enterprise backend systems and intelligent automation.
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Apply on source site This Senior AI Developer position focuses on enterprise-grade Artificial Intelligence and Machine Learning solutions. You will use modern AI frameworks, LLMs, RAG architectures, Python, and backend service design. Deep AI/ML expertise is the primary priority, while AWS experience supports scalable deployment.
Key Responsibilities:
Design and implement production-ready Generative AI and ML capabilities
Build AI-driven backend pipelines and automated operational workflows
Architect secure, performant APIs, microservices, and event-driven systems
Implement CI/CD, monitoring, drift tracking, and model deployment automation
Partner with architects, data engineers, and security teams
Requirements:
Five-plus years building, training, fine-tuning, and deploying models
Proficiency with LLM orchestration, RAG, vector databases, and prompts
Strong Python expertise with FastAPI, Flask, or asynchronous frameworks
Experience automating backend tasks, data pipelines, and workflows
Work two days weekly in Downtown Toronto; remote flexibility available
Apply deep AI/ML expertise, Python, LLMs, and RAG engineering to enterprise backend systems and intelligent automation.
#J-18808-Ljbffr